OxTalks will soon move to the new Halo platform and will become 'Oxford Events.' There will be a need for an OxTalks freeze. This was previously planned for Friday 14th November – a new date will be shared as soon as it is available (full details will be available on the Staff Gateway).
In the meantime, the OxTalks site will remain active and events will continue to be published.
If staff have any questions about the Oxford Events launch, please contact halo@digital.ox.ac.uk
In this session, we’ll uncover the potential of Numba for high-performance computing in Python with just a single line of extra code! By focusing on Numba’s powerful jit and guvectorize functions, we’ll start with a general overview and then dive into real-world applications and examples. Learn how to optimize computational tasks and elevate your Python code to new levels of efficiency and speed with minimal effort.
